---
base_model: DeepPavlov/rubert-base-cased-conversational
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: rubert-base-cased-conversational_ner-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rubert-base-cased-conversational_ner-v2

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1360
- Precision: 0.7324
- Recall: 0.7939
- F1: 0.7619
- Accuracy: 0.9289

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 60   | 0.2248          | 0.5069    | 0.5573 | 0.5309 | 0.8591   |
| No log        | 2.0   | 120  | 0.1435          | 0.6966    | 0.7710 | 0.7319 | 0.9289   |
| No log        | 3.0   | 180  | 0.1360          | 0.7324    | 0.7939 | 0.7619 | 0.9289   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3